Systems Engineering Effectiveness Committee

Systems Engineering Effectiveness Committee

Mission

The mission of the Systems Engineering Effectiveness Committee (SEEC) is to assist the Systems Engineering (SE) community in achieving a quantifiable and persistent improvement in program performance through appropriate application of systems engineering principles and best practices. Our current activities are to:1. Identify systems engineering principles and best practices proven to provide improved program performance.2. Identify a set of leading indicators that provide insight into technical performance at major decision points for managing programs quantitatively across their life cycle.Benefactors of these activities will include program technical decision makers, SE practitioners, system developers, and system acquirers.

The Business Case for Systems Engineering: Results of the Systems Engineering Effectiveness SurveyThis report summarizes the results of a survey that had the goal of quantifying the connection between the application of systems engineering (SE) best practices to projects and the performance of those projects. The survey population consisted of projects and programs executed by system developers reached through the NDIA, the IEEE Aerospace and Electronic Systems Society, and INCOSE. Analysis of survey responses revealed strong statistical relationships between project performance and several categories of specific SE best practices. The survey results show notable differences in the relationship between SE best practices and performance between more challenging and less challenging projects.

The Business Case for Systems Engineering: Detailed Response DataThis report contains detailed response data from The Effectiveness of Systems Engineering: A Survey. The survey had the goal of quantifying the connection between the application of systems engineering (SE) best practices to projects and programs and the performance of those projects and programs. The survey population consisted of projects and programs executed by system developers reached through the NDIA, the IEEE Aerospace and Electronic Systems Society, and INCOSE. Analysis of survey responses revealed strong statistical relationships between project performance and several categories of SE best practices. The survey results show notable differences in the relationship between SE best practices and performance between more challenging and less challenging projects. The statistical relationship with project performance is quite strong for survey data of this kind when both SE capability and project challenge are considered together.